ArticleScientific data2025
A 30-m annual paddy rice dataset in Northeastern China during period 2000-2023.
Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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1 citing paper in PubMed.
- Dynamic maps of plastic-mulched farmlands in Northeast China from 1985 to 2025.Scientific data · 2026Article
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7 authors.
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Abstract
As the cornerstone of China's food security, Northeastern China contributes nearly 20% of national rice production. However, we are still lacking of high-resolution rice maps with detailed and long time-series in this region, impeding crop management decisions for food security. Here we generated an annual 30 m resolution rice distribution dataset for Northeastern China since the 21st century (NECAR) using the Google Earth Engine platform and random forest classification. The workflow involved (1) hierarchical screening principle to select ground samples, (2) the linear interpolation and Whittaker smoothing Landsat5/7/8 time series data and (3) enhanced spectral-feature sets. The resultant annual maps have high overall accuracy (OA) ranging from 0.93 to 0.99, and the satellite estimates corresponded well with statistics for most cities (R
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